linkedin-post-writer
Drafts LinkedIn posts based on tested formulas. It helps the agent write copy that generates more likes, comments, and shares.
What it does
This assistant drafts LinkedIn posts using tested formulas to boost engagement (comments, likes, shares). It helps choose the best format based on your desired outcome and ensures the text sounds human.
When to use it
- ✓When you have a topic and want a post that drives comments.
- ✓When you want to share a lesson learned and have people save the post.
- ✓When you have a draft, but the opening isn't attention-grabbing.
Example of what to ask your AI
“Write a post about how I started my business, focusing on getting shares.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
It asks what outcome you want (comments, shares, etc.) and picks a proven hook formula. Then, it fills that structure with your information, tweaking the text to sound natural and human.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill linkedin-post-writerOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/linkedin-post-writer/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
LinkedIn Post Writer
Overview
Drafts long-form LinkedIn posts using 16 hook formulas that were reverse-engineered from posts that outperformed their authors' baselines in 2025-2026, each with a reference engagement number. Instead of asking "what should I write", the workflow asks "what should this post earn" (comments, reposts, likes, or saves), shortlists 2-3 matching formulas, fills the chosen skeleton with the user's voice, then scrubs the draft for AI tells before it ships.
This is the flagship skill from sergebulaev/linkedin-skills, a 10-skill LinkedIn bundle (writer, humanizer, pre-publish audit, comment drafter, reply handler, hook extractor, content planner, profile optimizer, engager analytics, thread monitor) installable as a Claude Code or Codex plugin. This standalone version covers the drafting workflow; scheduling and publishing automation live in the full bundle.
When to Use This Skill
- Use when the user says "write me a LinkedIn post about X"
- Use when the user has a topic and a rough angle but needs a hook and structure
- Use when the user wants to pick from proven post formats instead of improvising
- Use when a draft exists but the hook is weak and needs a formula-based rebuild
- Not for replying to comments or optimizing profiles; this skill only drafts posts
How It Works
Step 1: Gather inputs
Collect: topic, angle, target audience (founders, operators, marketers), desired length (short 300-500, medium 900-1,300, or long 1,500-1,900 characters), and any raw material the user already has (numbers, anecdotes, names).
Step 2: Pick the formula by engagement goal first
Ask (or infer) what the post should earn, then shortlist:
| Goal | Earned by | Formulas |
|---|---|---|
| Comments | questions, contrarian takes, vulnerability | F4 Time-Anchor Confession, F10 Contrarian + Receipts, F12 Permission Slip, F9 Curiosity-Gap |
| Reposts | quotable maxims, tributes, "X isn't Y" distinctions | F14 Named Gratitude, F2 R.I.P. Obituary, F8 Paid-vs-Free Reversal |
| Likes | emotional stories, celebrations, status-strip | F11 Emotional Cold-Open, F13 Bait-and-Switch Reversal, F16 Status-Strip Humility |
| Saves | simplifications, exact how-to, frameworks | F15 Explain-to-Kids, F7 Odd-Precision Money Ledger, F8 Paid-vs-Free Reversal |
The full set of 16, with reference engagement:
| Code | Formula | Reference | Best for |
|---|---|---|---|
| F1 | Platform Risk Anaphora | 4,240 eng | Category and platform-risk arguments |
| F2 | R.I.P. Obituary | 3,822 eng | Era-ending claims, industry pivots |
| F3 | Year-over-Year Pivot | 494 eng, 3.74x baseline | Identity shifts, founder reflection |
| F4 | Time-Anchor Confession | 1,519+ eng | Vulnerability, voice reset |
| F5 | Self-Proving Meta | 1,082 eng, 435 comments | Commitments and tests in public |
| F6 | Comment-Gate Lead Magnet | 717-3,008 eng | List building (max once a month) |
| F7 | Odd-Precision Money Ledger | 1,755 eng, 9.4x baseline | Build logs, cost breakdowns |
| F8 | Paid-vs-Free Reversal | 550 eng, 19.64x baseline | Framework giveaways |
| F9 | Curiosity-Gap Teaser | 306 eng, 4.25x baseline | Surprise and behind-the-scenes stories |
| F10 | Contrarian + Historical Receipts | 3,083 eng | Sacred-cow takes backed by history |
| F11 | Emotional Cold-Open | high raw reach | Real stories with emotional stakes |
| F12 | Permission Slip | comment-heavy | Encouragement to a discouraged audience |
| F13 | Bait-and-Switch Reversal | high raw reach | Bad-news framing that turns into an upgrade |
| F14 | Named Gratitude / Tribute | repost-heavy | Thanking mentors, teams, departing colleagues |
| F15 | Explain-to-Kids | save-heavy | Demystifying jargon into a reference post |
| F16 | Status-Strip Humility | like-heavy | Senior voices trading prestige for warmth |
Important caveat: F1-F10 references are engagement counts or format multipliers against the author's own baseline; F11-F16 references are raw corpus reach, often inflated by a famous author or a reshare. The two groups measure different things, so never rank formulas across groups by number.
The full skeletons for all 16 formulas are bundled with this skill in references/hook-formulas.md, along with per-formula warnings and the "Never do" list.
Step 3: Draft the post
…
FAQ
What are 'hook formulas'?
These are opening sentence templates that have been proven to grab attention and encourage people to interact with the post.
What does 'scrub AI tells' mean?
It means removing generic words and phrases that sound like they were written by a robot, adding specific details and a more personal tone.
Can I use this to reply to comments?
No, this tool is only for drafting new LinkedIn posts.
Details
Original description by the author
Draft LinkedIn posts from 16 tested hook formulas mapped to engagement goals (comments, reposts, likes, saves), with 2026 algorithm formatting rules and an AI-tell scrub pass before publishing.
Popularity
- GitHub stars
- 48k
- Ranking position
- #3450
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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